Improving End-to-End Speech-to-Intent Classification with Reptile

Y.-Y. Wang, L. Deng, and A. Acero, “Spoken language understanding,”

2005

Earlier work this paper cites.

G. Tur, D. Hakkani-Tür, and L. Heck, “What is left to be understood in atis?” in

2010

Earlier work this paper cites.

V. Renkens, S. Janssens, B. Ons, J. F. Gemmeke, and H. V. hamme, “Acquisition of ordinal words using weakly supervised NMF,” in

2014

Earlier work this paper cites.

D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” in

2015

Earlier work this paper cites.

Y. Qian, R. Ubale, V. Ramanarayanan, P. L. Lange, D. Suendermann-Oeft, K. Evanini, and E. Tsuprun, “Exploring asr-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system,” in

2017

Earlier work this paper cites.

C. Finn, P. Abbeel, and S. Levine, “Model-agnostic meta-learning for fast adaptation of deep networks,” in

2017

Earlier work this paper cites.

D. Serdyuk, Y. Wang, C. Fuegen, A. Kumar, B. Liu, and Y. Bengio, “Towards end-to-end spoken language understanding,” in

2018

Earlier work this paper cites.

P. Haghani, A. Narayanan, M. Bacchiani, G. Chuang, N. Gaur, P. Moreno, R. Prabhavalkar, Z. Qu, and A. Waters, “From audio to semantics: Approaches to end-to-end spoken language understanding,” in

2018

Cited alongside, same era.

Y.-P. Chen, R. Price, and S. Bangalore, “Spoken language understanding without speech recognition,” in

2018

Cited alongside, same era.

S. Ghannay, A. Caubrière, Y. Estève, N. Camelin, E. Simonnet, A. Laurent, and E. Morin, “End-to-end named entity and semantic concept extraction from speech,” in

2018

Cited alongside, same era.

A. Nichol, J. Achiam, and J. Schulman, “On first-order meta-learning algorithms,”

Original

2018

Cited alongside, same era.

C. Finn, “Learning to learn with gradients,” Ph.D. dissertation, UC Berkeley, 2018

2018

Cited alongside, same era.

L. Lugosch, M. Ravanelli, P. Ignoto, V. S. Tomar, and Y. Bengio, “Speech Model Pre-Training for End-to-End Spoken Language Understanding,” in

2019

Later among the works it cites.

S. Bhosale, I. Sheikh, S. H. Dumpala, and S. K. Kopparapu, “End-to-End Spoken Language Understanding: Bootstrapping in Low Resource Scenarios,” in

2019

Later among the works it cites.

L. Lugosch, B. Meyer, D. Nowrouzezahrai, and M. Ravanelli, “Using speech synthesis to train end-to-end spoken language understanding models,”

Original

2019

Later among the works it cites.

E. Palogiannidi, I. Gkinis, G. Mastrapas, P. Mizera, and T. Stafylakis, “End-to-end architectures for asr-free spoken language understanding,”

Original

2019

Later among the works it cites.

M. R. Zhang, J. Lucas, G. Hinton, and J. Ba, “Lookahead optimizer: k steps forward, 1 step back,” in